[HTML][HTML] Impact of artificial intelligence on the planning and operation of distributed energy systems in smart grids

P Arévalo, F Jurado - Energies, 2024 - mdpi.com
This review paper thoroughly explores the impact of artificial intelligence on the planning
and operation of distributed energy systems in smart grids. With the rapid advancement of …

Function offloading approaches in serverless computing: A Survey

M Ghorbian, M Ghobaei-Arani - Computers and Electrical Engineering, 2024 - Elsevier
In recent years, serverless computing has become one of the popular approaches to
develo** and running applications, allowing developers to run their code directly in the …

Optimizing Edge Computing through Virtualization: A Comprehensive Review.

N Saini, J Kumar - … journal of advanced research in computer …, 2024 - search.ebscohost.com
The adoption of virtualization in edge computing promotes the use of numerous applications
and operating systems on a single physical server. The technological environment is …

Container migration for edge computing in industrial Internet with joint latency reduction and reliability enhancement

X **, S He, Y Chen - Scientific Reports, 2024 - nature.com
Edge computing has emerged as a prominent trend in the field of information technology,
offering flexible and robust resources for the industrial Internet. How to migrate container …

Serverless computing in the cloud-to-edge continuum

C Puliafito, O Rana, LF Bittencourt, H Wu - Future Generation Computer …, 2024 - Elsevier
Serverless computing is establishing itself as a way to efficiently run cloud applications while
abstracting the underlying infrastructure complexity away from application developers. At the …

Edge-Cloud-Assisted Multivariate Time Series Data-Based VAR and Sequential Encoder–Decoder Framework for Multi-Disease Prediction

S Haq, P Verma - Arabian Journal for Science and Engineering, 2025 - Springer
Multivariate clinical time series data like demographic information, lifestyle factors, and
health indicators for multi-outcomes are essential for capturing complex interdependencies …

SG-MOACO: a semi-greedy multi-objective ACO method for edge server placement in mobile edge computing

S Havas, S Azizi, A Abdollahpouri - Computing, 2025 - Springer
Abstract The importance of Mobile Edge Computing (MEC) systems has risen due to
increasing data volumes from Internet of Things (IoT) devices and connected technologies …

Decentralized dynamic load balancing for virtual machines in cloud computing: a blockchain-enabled system with state channel optimization

J Roselin, IJ Insulata - The Journal of Supercomputing, 2025 - Springer
This paper introduces an innovative load balancing algorithm that utilizes blockchain-
enabled cloud computing environments. The proposed scheme leverages blockchain …

HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud

M Kim, W Shu, MA Salehi - arxiv preprint arxiv:2411.19487, 2024 - arxiv.org
The high computational, memory, and energy demands of Deep Learning (DL) applications
often exceed the capabilities of battery-powered edge devices, creating difficulties in …

Non-Stationary Gradient Descent for Optimal Auto-Scaling in Serverless Platforms

A Jonatha, G Bruno, R Louis-Sebastien - arxiv preprint arxiv:2502.01284, 2025 - arxiv.org
To efficiently manage serverless computing platforms, a key aspect is the auto-scaling of
services, ie, the set of computational resources allocated to a service adapts over time as a …